Queue length optimization of vehicles at road intersection using parabolic interpolation method

Abstract

Traffic congestion has become a serious problem in Indonesia, especially in Jakarta city. The main problem occurs at intersections. One of the solutions that can be proposed to reduce congestion at the intersection is to implement traffic signal control strategy at the intersection. Levels of congestion are determined by the queue length of vehicles. Green time (Tg) and red time (Tr) are determined by the queue length on each of the intersection leg. The lowest congestion level is represented by the smallest value of queue length. Optimization is performed in order to find an optimal value of green time (Tg), such that the queue length of vehicles becomes the smallest in constant cycle time. Due to the cycle time (Tn) is constant and the intersection is controlled in 2 phases, the variable needed to be optimized is only the green time (Tg). The red time (Tr) can then be counted from the cycle time (Tn) minus the green time (Tg).

Optimal Access Management for Cooperative Intersection Control

“…Therefore, we can define a definite bound for the sampling time in (24), considering (26) and u < w , as t < M s . Consider the instantaneous signals u q (t, j ), w q (t, j ), depicted in Figure 2.…”

Analysis of Traffic Characteristics and Distance Optimization Design between Entrances and Exits of Urban Construction Projects and Adjacent Planar Intersections

“…Traffic light intersection data detection schemes using edge computing, or load redistribution strategies using rational allocation of congestion load, are more suitable for complex and variable intersections [10,11]. The queue length was analyzed to determine the optimal value of green time [12]. To address the issue of queue length at intersections, both single and multiple, an improved version of the sparrow algorithm was developed.…”